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Model with transmission delays for COVID‐19 control: Theory and empirical assessment

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  • Natali Hritonenko
  • Olga Yatsenko
  • Yuri Yatsenko

Abstract

The paper focuses on modeling of public health measures to control the COVID‐19 pandemic. The authors suggest a flexible integral model with distributed lags, which realistically describes COVID‐19 infectiousness period from clinical data. It contains susceptible–infectious–recovered (SIR), susceptible–exposed–infectious–recovered (SEIR), and other epidemic models as special cases. The model is used for assessing how government decisions to lockdown and reopen the economy affect epidemic spread. The authors demonstrate essential differences in transition and asymptotic dynamics of the integral model and the SIR model after lockdown. The provided simulation on real data accurately describes several waves of the COVID‐19 epidemic in the United States and is in good correspondence with government actions to curb the epidemic.

Suggested Citation

  • Natali Hritonenko & Olga Yatsenko & Yuri Yatsenko, 2022. "Model with transmission delays for COVID‐19 control: Theory and empirical assessment," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(5), pages 1218-1244, October.
    • Handle: RePEc:bla:jpbect:v:24:y:2022:i:5:p:1218-1244
    DOI: 10.1111/jpet.12554
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    References listed on IDEAS

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